Water usage optimization of smart farm automated irrigation system using artificial neural network

Water usage optimization of smart farm automated irrigation system using artificial neural network

Limited water resources had become the main constraint to be considered in farming. Optimizing this has become one of the interests in researches relating to precision agriculture. In this paper, the researchers use Neural Network in optimizing the water usage in the smart farm by incorporating it t...

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Main Authors: Dela Cruz, John R., Baldovino, Renann G., Bandala, Argel A., Dadios, Elmer P.
Format: text
Published: Animo Repository 2017
Subjects:
Irrigation efficiency
Water efficiency
Neural networks (Computer science)
Manufacturing
Mechanical Engineering
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/4389
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-5202
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-52022021-12-07T01:17:53Z Water usage optimization of smart farm automated irrigation system using artificial neural network Dela Cruz, John R. Baldovino, Renann G. Bandala, Argel A. Dadios, Elmer P. Limited water resources had become the main constraint to be considered in farming. Optimizing this has become one of the interests in researches relating to precision agriculture. In this paper, the researchers use Neural Network in optimizing the water usage in the smart farm by incorporating it to the proposed Smart Farm Automated Irrigation System (SFAIS) by implementing an expert system. Simulations were done using the MATLAB Neural Network toolbox and results show that neural network is a useful tool. © 2017 IEEE. 2017-11-18T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/4389 info:doi/10.1109/ICoICT.2017.8074668 Faculty Research Work Animo Repository Irrigation efficiency Water efficiency Neural networks (Computer science) Manufacturing Mechanical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Irrigation efficiency
Water efficiency
Neural networks (Computer science)
Manufacturing
Mechanical Engineering
spellingShingle Irrigation efficiency
Water efficiency
Neural networks (Computer science)
Manufacturing
Mechanical Engineering
Dela Cruz, John R.
Baldovino, Renann G.
Bandala, Argel A.
Dadios, Elmer P.
Water usage optimization of smart farm automated irrigation system using artificial neural network
description Limited water resources had become the main constraint to be considered in farming. Optimizing this has become one of the interests in researches relating to precision agriculture. In this paper, the researchers use Neural Network in optimizing the water usage in the smart farm by incorporating it to the proposed Smart Farm Automated Irrigation System (SFAIS) by implementing an expert system. Simulations were done using the MATLAB Neural Network toolbox and results show that neural network is a useful tool. © 2017 IEEE.
format text
author Dela Cruz, John R.
Baldovino, Renann G.
Bandala, Argel A.
Dadios, Elmer P.
author_facet Dela Cruz, John R.
Baldovino, Renann G.
Bandala, Argel A.
Dadios, Elmer P.
author_sort Dela Cruz, John R.
title Water usage optimization of smart farm automated irrigation system using artificial neural network
title_short Water usage optimization of smart farm automated irrigation system using artificial neural network
title_full Water usage optimization of smart farm automated irrigation system using artificial neural network
title_fullStr Water usage optimization of smart farm automated irrigation system using artificial neural network
title_full_unstemmed Water usage optimization of smart farm automated irrigation system using artificial neural network
title_sort water usage optimization of smart farm automated irrigation system using artificial neural network
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/faculty_research/4389
_version_ 1767196083883081728

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